Dataset statistics
| Number of variables | 13 |
|---|---|
| Number of observations | 299 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 30.5 KiB |
| Average record size in memory | 104.4 B |
Variable types
| Numeric | 7 |
|---|---|
| Categorical | 6 |
time is highly correlated with DEATH_EVENT | High correlation |
DEATH_EVENT is highly correlated with time | High correlation |
time is highly correlated with DEATH_EVENT | High correlation |
DEATH_EVENT is highly correlated with time | High correlation |
age is highly correlated with diabetes and 2 other fields | High correlation |
anaemia is highly correlated with diabetes and 4 other fields | High correlation |
creatinine_phosphokinase is highly correlated with high_blood_pressure and 3 other fields | High correlation |
diabetes is highly correlated with age and 5 other fields | High correlation |
ejection_fraction is highly correlated with high_blood_pressure and 3 other fields | High correlation |
high_blood_pressure is highly correlated with anaemia and 5 other fields | High correlation |
platelets is highly correlated with sex and 2 other fields | High correlation |
serum_creatinine is highly correlated with sex and 1 other fields | High correlation |
serum_sodium is highly correlated with sex and 2 other fields | High correlation |
sex is highly correlated with age and 9 other fields | High correlation |
smoking is highly correlated with age and 9 other fields | High correlation |
time is highly correlated with DEATH_EVENT | High correlation |
DEATH_EVENT is highly correlated with anaemia and 8 other fields | High correlation |
ejection_fraction is highly correlated with serum_creatinine and 1 other fields | High correlation |
serum_creatinine is highly correlated with ejection_fraction | High correlation |
sex is highly correlated with smoking | High correlation |
smoking is highly correlated with sex | High correlation |
time is highly correlated with DEATH_EVENT | High correlation |
DEATH_EVENT is highly correlated with ejection_fraction and 1 other fields | High correlation |
Reproduction
| Analysis started | 2021-11-17 00:27:15.764230 |
|---|---|
| Analysis finished | 2021-11-17 00:27:35.851358 |
| Duration | 20.09 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 47 |
|---|---|
| Distinct (%) | 15.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 60.83389298 |
| Minimum | 40 |
|---|---|
| Maximum | 95 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.5 KiB |
Quantile statistics
| Minimum | 40 |
|---|---|
| 5-th percentile | 42.9 |
| Q1 | 51 |
| median | 60 |
| Q3 | 70 |
| 95-th percentile | 82 |
| Maximum | 95 |
| Range | 55 |
| Interquartile range (IQR) | 19 |
Descriptive statistics
| Standard deviation | 11.89480907 |
|---|---|
| Coefficient of variation (CV) | 0.1955293093 |
| Kurtosis | -0.184870532 |
| Mean | 60.83389298 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 0.4230619067 |
| Sum | 18189.334 |
| Variance | 141.4864829 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=47)
| Value | Count | Frequency (%) |
| 60 | 33 | 11.0% |
| 50 | 27 | 9.0% |
| 65 | 26 | 8.7% |
| 70 | 25 | 8.4% |
| 45 | 19 | 6.4% |
| 55 | 17 | 5.7% |
| 75 | 11 | 3.7% |
| 53 | 10 | 3.3% |
| 58 | 10 | 3.3% |
| 63 | 8 | 2.7% |
| Other values (37) | 113 |
| Value | Count | Frequency (%) |
| 40 | 7 | 2.3% |
| 41 | 1 | 0.3% |
| 42 | 7 | 2.3% |
| 43 | 1 | 0.3% |
| 44 | 2 | 0.7% |
| 45 | 19 | |
| 46 | 3 | 1.0% |
| 47 | 1 | 0.3% |
| 48 | 2 | 0.7% |
| 49 | 4 | 1.3% |
| Value | Count | Frequency (%) |
| 95 | 2 | 0.7% |
| 94 | 1 | 0.3% |
| 90 | 3 | |
| 87 | 1 | 0.3% |
| 86 | 1 | 0.3% |
| 85 | 6 | |
| 82 | 3 | |
| 81 | 1 | 0.3% |
| 80 | 7 | |
| 79 | 1 | 0.3% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 170 | |
| 1 | 129 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 170 | |
| 1 | 129 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 208 |
|---|---|
| Distinct (%) | 69.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 581.8394649 |
| Minimum | 23 |
|---|---|
| Maximum | 7861 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.5 KiB |
Quantile statistics
| Minimum | 23 |
|---|---|
| 5-th percentile | 59 |
| Q1 | 116.5 |
| median | 250 |
| Q3 | 582 |
| 95-th percentile | 2263 |
| Maximum | 7861 |
| Range | 7838 |
| Interquartile range (IQR) | 465.5 |
Descriptive statistics
| Standard deviation | 970.2878807 |
|---|---|
| Coefficient of variation (CV) | 1.667621293 |
| Kurtosis | 25.1490462 |
| Mean | 581.8394649 |
| Median Absolute Deviation (MAD) | 182 |
| Skewness | 4.463110085 |
| Sum | 173970 |
| Variance | 941458.5715 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 582 | 47 | 15.7% |
| 66 | 4 | 1.3% |
| 129 | 4 | 1.3% |
| 231 | 3 | 1.0% |
| 69 | 3 | 1.0% |
| 68 | 3 | 1.0% |
| 84 | 3 | 1.0% |
| 115 | 3 | 1.0% |
| 59 | 3 | 1.0% |
| 60 | 3 | 1.0% |
| Other values (198) | 223 |
| Value | Count | Frequency (%) |
| 23 | 1 | 0.3% |
| 30 | 1 | 0.3% |
| 47 | 3 | |
| 52 | 1 | 0.3% |
| 53 | 1 | 0.3% |
| 54 | 1 | 0.3% |
| 55 | 1 | 0.3% |
| 56 | 2 | |
| 57 | 1 | 0.3% |
| 58 | 1 | 0.3% |
| Value | Count | Frequency (%) |
| 7861 | 1 | |
| 7702 | 1 | |
| 5882 | 1 | |
| 5209 | 1 | |
| 4540 | 1 | |
| 3966 | 1 | |
| 3964 | 1 | |
| 2794 | 1 | |
| 2695 | 1 | |
| 2656 | 1 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 174 | |
| 1 | 125 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 174 | |
| 1 | 125 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 17 |
|---|---|
| Distinct (%) | 5.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 38.08361204 |
| Minimum | 14 |
|---|---|
| Maximum | 80 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.5 KiB |
Quantile statistics
| Minimum | 14 |
|---|---|
| 5-th percentile | 20 |
| Q1 | 30 |
| median | 38 |
| Q3 | 45 |
| 95-th percentile | 60 |
| Maximum | 80 |
| Range | 66 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 11.83484074 |
|---|---|
| Coefficient of variation (CV) | 0.3107594082 |
| Kurtosis | 0.04140935982 |
| Mean | 38.08361204 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.5553827517 |
| Sum | 11387 |
| Variance | 140.0634554 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=17)
| Value | Count | Frequency (%) |
| 35 | 49 | |
| 38 | 40 | |
| 40 | 37 | |
| 25 | 36 | |
| 30 | 34 | |
| 60 | 31 | |
| 50 | 21 | |
| 45 | 20 | |
| 20 | 18 | 6.0% |
| 55 | 3 | 1.0% |
| Other values (7) | 10 | 3.3% |
| Value | Count | Frequency (%) |
| 14 | 1 | 0.3% |
| 15 | 2 | 0.7% |
| 17 | 2 | 0.7% |
| 20 | 18 | 6.0% |
| 25 | 36 | |
| 30 | 34 | |
| 35 | 49 | |
| 38 | 40 | |
| 40 | 37 | |
| 45 | 20 |
| Value | Count | Frequency (%) |
| 80 | 1 | 0.3% |
| 70 | 1 | 0.3% |
| 65 | 1 | 0.3% |
| 62 | 2 | 0.7% |
| 60 | 31 | |
| 55 | 3 | 1.0% |
| 50 | 21 | |
| 45 | 20 | |
| 40 | 37 | |
| 38 | 40 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 194 | |
| 1 | 105 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 194 | |
| 1 | 105 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 176 |
|---|---|
| Distinct (%) | 58.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 263358.0293 |
| Minimum | 25100 |
|---|---|
| Maximum | 850000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.5 KiB |
Quantile statistics
| Minimum | 25100 |
|---|---|
| 5-th percentile | 131800 |
| Q1 | 212500 |
| median | 262000 |
| Q3 | 303500 |
| 95-th percentile | 422500 |
| Maximum | 850000 |
| Range | 824900 |
| Interquartile range (IQR) | 91000 |
Descriptive statistics
| Standard deviation | 97804.23687 |
|---|---|
| Coefficient of variation (CV) | 0.3713736663 |
| Kurtosis | 6.209254515 |
| Mean | 263358.0293 |
| Median Absolute Deviation (MAD) | 44000 |
| Skewness | 1.462320838 |
| Sum | 78744050.75 |
| Variance | 9565668749 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 263358.03 | 25 | 8.4% |
| 221000 | 4 | 1.3% |
| 279000 | 4 | 1.3% |
| 271000 | 4 | 1.3% |
| 305000 | 4 | 1.3% |
| 226000 | 4 | 1.3% |
| 228000 | 4 | 1.3% |
| 235000 | 4 | 1.3% |
| 237000 | 4 | 1.3% |
| 255000 | 4 | 1.3% |
| Other values (166) | 238 |
| Value | Count | Frequency (%) |
| 25100 | 1 | |
| 47000 | 1 | |
| 51000 | 1 | |
| 62000 | 1 | |
| 70000 | 1 | |
| 73000 | 1 | |
| 75000 | 1 | |
| 87000 | 1 | |
| 105000 | 1 | |
| 119000 | 1 |
| Value | Count | Frequency (%) |
| 850000 | 1 | |
| 742000 | 1 | |
| 621000 | 1 | |
| 543000 | 1 | |
| 533000 | 1 | |
| 507000 | 1 | |
| 504000 | 1 | |
| 497000 | 1 | |
| 481000 | 1 | |
| 461000 | 1 |
| Distinct | 40 |
|---|---|
| Distinct (%) | 13.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.393879599 |
| Minimum | 0.5 |
|---|---|
| Maximum | 9.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.5 KiB |
Quantile statistics
| Minimum | 0.5 |
|---|---|
| 5-th percentile | 0.7 |
| Q1 | 0.9 |
| median | 1.1 |
| Q3 | 1.4 |
| 95-th percentile | 3 |
| Maximum | 9.4 |
| Range | 8.9 |
| Interquartile range (IQR) | 0.5 |
Descriptive statistics
| Standard deviation | 1.034510064 |
|---|---|
| Coefficient of variation (CV) | 0.7421803613 |
| Kurtosis | 25.82823866 |
| Mean | 1.393879599 |
| Median Absolute Deviation (MAD) | 0.2 |
| Skewness | 4.455995882 |
| Sum | 416.77 |
| Variance | 1.070211073 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=40)
| Value | Count | Frequency (%) |
| 1 | 50 | |
| 1.1 | 32 | |
| 0.9 | 32 | |
| 1.2 | 24 | 8.0% |
| 0.8 | 24 | 8.0% |
| 1.3 | 20 | 6.7% |
| 0.7 | 19 | 6.4% |
| 1.18 | 11 | 3.7% |
| 1.4 | 9 | 3.0% |
| 1.7 | 9 | 3.0% |
| Other values (30) | 69 |
| Value | Count | Frequency (%) |
| 0.5 | 1 | 0.3% |
| 0.6 | 4 | 1.3% |
| 0.7 | 19 | 6.4% |
| 0.75 | 1 | 0.3% |
| 0.8 | 24 | |
| 0.9 | 32 | |
| 1 | 50 | |
| 1.1 | 32 | |
| 1.18 | 11 | 3.7% |
| 1.2 | 24 |
| Value | Count | Frequency (%) |
| 9.4 | 1 | |
| 9 | 1 | |
| 6.8 | 1 | |
| 6.1 | 1 | |
| 5.8 | 1 | |
| 5 | 1 | |
| 4.4 | 1 | |
| 4 | 1 | |
| 3.8 | 1 | |
| 3.7 | 1 |
| Distinct | 27 |
|---|---|
| Distinct (%) | 9.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 136.6254181 |
| Minimum | 113 |
|---|---|
| Maximum | 148 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.5 KiB |
Quantile statistics
| Minimum | 113 |
|---|---|
| 5-th percentile | 130 |
| Q1 | 134 |
| median | 137 |
| Q3 | 140 |
| 95-th percentile | 144 |
| Maximum | 148 |
| Range | 35 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 4.412477284 |
|---|---|
| Coefficient of variation (CV) | 0.03229616675 |
| Kurtosis | 4.119712008 |
| Mean | 136.6254181 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -1.048136016 |
| Sum | 40851 |
| Variance | 19.46995578 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 136 | 40 | |
| 137 | 38 | |
| 140 | 35 | |
| 134 | 32 | |
| 138 | 23 | |
| 139 | 22 | 7.4% |
| 135 | 16 | 5.4% |
| 132 | 14 | 4.7% |
| 141 | 12 | 4.0% |
| 142 | 11 | 3.7% |
| Other values (17) | 56 |
| Value | Count | Frequency (%) |
| 113 | 1 | 0.3% |
| 116 | 1 | 0.3% |
| 121 | 1 | 0.3% |
| 124 | 1 | 0.3% |
| 125 | 1 | 0.3% |
| 126 | 1 | 0.3% |
| 127 | 3 | 1.0% |
| 128 | 2 | 0.7% |
| 129 | 2 | 0.7% |
| 130 | 9 |
| Value | Count | Frequency (%) |
| 148 | 1 | 0.3% |
| 146 | 1 | 0.3% |
| 145 | 9 | 3.0% |
| 144 | 5 | 1.7% |
| 143 | 3 | 1.0% |
| 142 | 11 | 3.7% |
| 141 | 12 | 4.0% |
| 140 | 35 | |
| 139 | 22 | |
| 138 | 23 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.5 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 194 | |
| 0 | 105 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 194 | |
| 0 | 105 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 203 | |
| 1 | 96 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 203 | |
| 1 | 96 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 148 |
|---|---|
| Distinct (%) | 49.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 130.2608696 |
| Minimum | 4 |
|---|---|
| Maximum | 285 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.5 KiB |
Quantile statistics
| Minimum | 4 |
|---|---|
| 5-th percentile | 12.9 |
| Q1 | 73 |
| median | 115 |
| Q3 | 203 |
| 95-th percentile | 250 |
| Maximum | 285 |
| Range | 281 |
| Interquartile range (IQR) | 130 |
Descriptive statistics
| Standard deviation | 77.61420795 |
|---|---|
| Coefficient of variation (CV) | 0.5958367099 |
| Kurtosis | -1.212047967 |
| Mean | 130.2608696 |
| Median Absolute Deviation (MAD) | 71 |
| Skewness | 0.1278026456 |
| Sum | 38948 |
| Variance | 6023.965276 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 250 | 7 | 2.3% |
| 187 | 7 | 2.3% |
| 10 | 6 | 2.0% |
| 186 | 6 | 2.0% |
| 107 | 6 | 2.0% |
| 30 | 5 | 1.7% |
| 209 | 5 | 1.7% |
| 244 | 5 | 1.7% |
| 95 | 5 | 1.7% |
| 214 | 5 | 1.7% |
| Other values (138) | 242 |
| Value | Count | Frequency (%) |
| 4 | 1 | 0.3% |
| 6 | 1 | 0.3% |
| 7 | 2 | 0.7% |
| 8 | 2 | 0.7% |
| 10 | 6 | |
| 11 | 2 | 0.7% |
| 12 | 1 | 0.3% |
| 13 | 1 | 0.3% |
| 14 | 2 | 0.7% |
| 15 | 2 | 0.7% |
| Value | Count | Frequency (%) |
| 285 | 1 | 0.3% |
| 280 | 1 | 0.3% |
| 278 | 1 | 0.3% |
| 271 | 1 | 0.3% |
| 270 | 2 | 0.7% |
| 258 | 2 | 0.7% |
| 257 | 1 | 0.3% |
| 256 | 2 | 0.7% |
| 250 | 7 | |
| 247 | 1 | 0.3% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 203 | |
| 1 | 96 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 203 | |
| 1 | 96 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| age | anaemia | creatinine_phosphokinase | diabetes | ejection_fraction | high_blood_pressure | platelets | serum_creatinine | serum_sodium | sex | smoking | time | DEATH_EVENT | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 75.0 | 0 | 582 | 0 | 20 | 1 | 265000.00 | 1.9 | 130 | 1 | 0 | 4 | 1 |
| 1 | 55.0 | 0 | 7861 | 0 | 38 | 0 | 263358.03 | 1.1 | 136 | 1 | 0 | 6 | 1 |
| 2 | 65.0 | 0 | 146 | 0 | 20 | 0 | 162000.00 | 1.3 | 129 | 1 | 1 | 7 | 1 |
| 3 | 50.0 | 1 | 111 | 0 | 20 | 0 | 210000.00 | 1.9 | 137 | 1 | 0 | 7 | 1 |
| 4 | 65.0 | 1 | 160 | 1 | 20 | 0 | 327000.00 | 2.7 | 116 | 0 | 0 | 8 | 1 |
| 5 | 90.0 | 1 | 47 | 0 | 40 | 1 | 204000.00 | 2.1 | 132 | 1 | 1 | 8 | 1 |
| 6 | 75.0 | 1 | 246 | 0 | 15 | 0 | 127000.00 | 1.2 | 137 | 1 | 0 | 10 | 1 |
| 7 | 60.0 | 1 | 315 | 1 | 60 | 0 | 454000.00 | 1.1 | 131 | 1 | 1 | 10 | 1 |
| 8 | 65.0 | 0 | 157 | 0 | 65 | 0 | 263358.03 | 1.5 | 138 | 0 | 0 | 10 | 1 |
| 9 | 80.0 | 1 | 123 | 0 | 35 | 1 | 388000.00 | 9.4 | 133 | 1 | 1 | 10 | 1 |
Last rows
| age | anaemia | creatinine_phosphokinase | diabetes | ejection_fraction | high_blood_pressure | platelets | serum_creatinine | serum_sodium | sex | smoking | time | DEATH_EVENT | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 289 | 90.0 | 1 | 337 | 0 | 38 | 0 | 390000.0 | 0.9 | 144 | 0 | 0 | 256 | 0 |
| 290 | 45.0 | 0 | 615 | 1 | 55 | 0 | 222000.0 | 0.8 | 141 | 0 | 0 | 257 | 0 |
| 291 | 60.0 | 0 | 320 | 0 | 35 | 0 | 133000.0 | 1.4 | 139 | 1 | 0 | 258 | 0 |
| 292 | 52.0 | 0 | 190 | 1 | 38 | 0 | 382000.0 | 1.0 | 140 | 1 | 1 | 258 | 0 |
| 293 | 63.0 | 1 | 103 | 1 | 35 | 0 | 179000.0 | 0.9 | 136 | 1 | 1 | 270 | 0 |
| 294 | 62.0 | 0 | 61 | 1 | 38 | 1 | 155000.0 | 1.1 | 143 | 1 | 1 | 270 | 0 |
| 295 | 55.0 | 0 | 1820 | 0 | 38 | 0 | 270000.0 | 1.2 | 139 | 0 | 0 | 271 | 0 |
| 296 | 45.0 | 0 | 2060 | 1 | 60 | 0 | 742000.0 | 0.8 | 138 | 0 | 0 | 278 | 0 |
| 297 | 45.0 | 0 | 2413 | 0 | 38 | 0 | 140000.0 | 1.4 | 140 | 1 | 1 | 280 | 0 |
| 298 | 50.0 | 0 | 196 | 0 | 45 | 0 | 395000.0 | 1.6 | 136 | 1 | 1 | 285 | 0 |